CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings
Intracranial electrocorticography (ECoG) offers high-signal-to-noise access to cortical activity for brain-computer interfaces, yet limited per-patient data has led most prior work to rely on small, subject-specific decoders that neglect information shared across patients. We investigate whether large pretrained scalp-EEG foundation models (EEG FMs) can be adapted to ECoG, enabling cross-patient learning and competitive decoding performance while calibrating to a held-out patient in 10-30 minute
Record details
Published: 11 May 2026
Source: arXiv
Category: Research
Topics: Healthcare · Finance, VC & PE
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (11 May 2026), “CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings,” evidence record 4566, https://ethics.ai/record/4566 (originally published by arXiv).
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